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Quantifying Resilience and Uncertainty in Coastal Flooding Events: Framework for Assessing Urban Vulnerability

机译:量化沿海洪水事件中的复原力和不确定性:评估城市脆弱性的框架

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Flood resilience is a desirable state of natural and built environments in dealing with hazards such as extreme rainfalls, storm surges, and hurricanes. Here, resilience means the capacity to reach an acceptable level of functionality during and after a flood. Observations of the recent history of flood disasters in New Orleans and New York City (NYC) have suggested the necessity of quantifying resilience in these regions utilizing a floodplain's vulnerability assessment platform. Once a meaningful and well-recognized method is developed, then resources can be allocated to increase resiliency. In this study, redundancy, resourcefulness, robustness, and rapidity metrics based on socioeconomic, manmade, and natural conditions are developed to quantify coastal resilience. Exposure and susceptibility are also defined and evaluated for quantifying vulnerability. The proposed evaluation method, which is based on the linear combination of the developed metrics, uses a multicriteria decision making technique for ranking the factors of the system and their weights. Sensitivity and uncertainty analyses are performed to determine the sensitivity of the developed platform to 54 different factors affecting the system's vulnerability and the uncertainty associated with estimating the representative values and weights of those factors. The proposed platform allows identifying those factors that have the most significant impact on resiliency. As a result, resource allocation could be directed to strengthen those factors rather than ad hoc allocations without consideration of their overall impact on building a more resilient region. Application of the proposed scheme is investigated using a coastal area in the Bronx Borough of NYC. The proposed algorithm can be applied to other coastal areas in identifying effective factors on their system's flood resiliency. (C) 2016 American Society of Civil Engineers.
机译:抗洪能力是应对极端降雨,风暴潮和飓风等灾害时自然环境和建筑环境的理想状态。在此,弹性是指在洪水期间和洪水之后达到可接受功能水平的能力。对新奥尔良和纽约市(NYC)最近洪灾历史的观察表明,有必要利用洪泛区的脆弱性评估平台来量化这些地区的复原力。一旦开发出有意义且广为人知的方法,便可以分配资源以提高弹性。在这项研究中,基于社会经济,人为和自然条件的冗余,足智多谋,稳健性和快速性指标被开发出来,以量化沿海恢复力。还定义和评估了暴露程度和敏感性,以量化脆弱性。所提出的评估方法基于已开发指标的线性组合,使用多准则决策技术对系统因素及其权重进行排名。进行敏感性和不确定性分析,以确定开发平台对影响系统脆弱性的54个不同因素的敏感性,以及与估计那些因素的代表值和权重相关的不确定性。提议的平台可以识别那些对弹性有最大影响的因素。结果,可以将资源分配用于加强这些因素,而不是临时分配,而不考虑其对建设更具弹性的区域的总体影响。拟议方案的应用是在纽约市布朗克斯区的一个沿海地区进行调查的。所提出的算法可以应用于其他沿海地区,以确定影响其系统抗洪能力的有效因素。 (C)2016年美国土木工程师学会。

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